(NBCI) Natural Brain (Human) and Computer Interaction: Development of User Experience with Computers through Adaptive Interface Method

In the current digital dispensation, Human-Computer Interaction (HCI) fronts itself as key to the user experiences across all the other technological platforms. Human-Computer Interaction will continue rising to the fore with rapid advancements experienced in technology and demand for seamless interactions between man and machine growing. Adaptive interfaces have been designed to meet the manifold demands and preferences of users, with the sole aim of improving the overall user experience. This paper thus goes further to try and understand the importance of adaptive interfaces within the domain of HCI toward improving user experience. How do adaptive interfaces optimally change their behavior with user inputs, context, and other determining factors to optimize a user’s interaction with the system. It synthesizes prior knowledge and extracts main principles and methodologies of adaptive interface design from an extensive literature review. The basic ideas of adaptive interfaces and their roles in HCI are described. The theory could be, in return, a guide for the designers and developers for the efficient use of the adaptive techniques to develop interfaces more in accordance with users. It further explores several adaptive approaches based on advanced context-awareness, user modeling, and machine learning algorithms, and their implication on HCI. It further outlines various case studies and examples in their respective application domains, from web browsing to mobile applications and assistive technology, showing adaptive interfaces in use.